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pacificvascular.com

pacificvascular.com

Moderate AI visibility with 29 of 48 criteria passing. Biggest gap: llms.txt file.

Healthcare & Patient AdvocacyHospital & Health Care
51/100
1 since v1
F
Citation Avg
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 51/100 - multiple areas need attention. Key strengths include Schema.org Structured Data, Sitemap Completeness, and RSS/Atom Feed. Priority gaps: llms.txt File, Content Licensing & AI Permissions, and Speakable Schema.

How to Improve

Current
51/100
Projected
80/100
41Total Fixes
14Quick Wins
~90hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd content freshness signalsAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingEnhance author and expert schemaAdd visible date signalsIncrease content depth and structureMake pages solve the user task fasterImprove citation-ready writing qualityImprove server response efficiencyReduce document weight
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce render-blocking resources
critical|medium
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
high|trivial
Reduce document weight
high|low
Add internationalization signals
critical|medium
Improve server response efficiency
high|low

Top Opportunities10

Publish original research, statistics, case studies, or proprietary data that AI engines can cite. Unique data points make your content a primary source rather than a derivative one.

Ensure blog content consistently covers your core expertise areas rather than scattering across unrelated topics. AI engines build authority models - a site about "Medicare coverage" that also publishes about humidifiers and groceries dilutes its topical authority.

Include "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

Add question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.

Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.

Expand articles to 1000+ words with structured H2/H3 sections, comparison tables, and expert analysis. Thin content (under 300 words) is rarely cited by AI engines. Deep, well-structured articles demonstrate expertise.

Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

Place a concise 40-80 word answer block in the first 300 words of each page. Avoid throat-clearing openers like "In this article..." and lead with the answer.

Use HTML tables for comparison data and ordered/unordered lists for features, steps, and specifications. Structured data formats are directly extractable by AI engines for answers.

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Site Pages

pacificvascular.com/vascular-newsF37
Vascular News - Pacific Vascular
Changes since v1Last audited 70 days ago
52
51
-1
View full comparison →
Add Original Data & Case StudiesFocus Content on Core TopicsAdd Owned Data SignalsRestructure Content as Q&AAdd Answer Capsule PatternsImprove Question-Answer AlignmentIncrease Content DepthPackage Evidence for AIAdd Answer-First PlacementAdd Structured Tables & Lists

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